Manager, Machine Learning Engineer

567

Not specified (assumed to be flexible based on the company's culture and remote work trends).
12-15 years total experience
3+ years leading software development team
Design large-scale distributed ml systems
Warner Bros. Discovery is seeking a Manager of Machine Learning Engineering to lead a team responsible for building and operating large-scale machine learning systems for media localization. The ideal candidate will have extensive experience in machine learning, team leadership, and software development, alongside a passion for innovation in the media domain

Job Summary

  • The role involves leading a team responsible for building production-grade Gen AI systems that power the Merlin platform for media localization.
  • Candidates must have extensive experience designing large-scale distributed systems with a significant customer base and managing the full machine learning lifecycle.
  • Warner Bros. Discovery offers career-defining opportunities, thoughtfully curated benefits, and a supportive culture where employees are celebrated and encouraged to thrive.

Matching Summary

Match Score: 85

Warner Bros. Discovery is seeking a Manager of Machine Learning Engineering to lead a team responsible for building and operating large-scale machine learning systems for media localization. The ideal candidate will have extensive experience in machine learning, team leadership, and software development, alongside a passion for innovation in the media domain.

Skills & Requirements

Must-have

  • 12-15 years total experience
  • 3+ years leading software development team
  • Design large-scale distributed ML systems
  • Cloud platform experience AWS GCP Azure
  • Production-grade Gen AI media processing

Nice-to-have

  • Hands-on Computer Vision ASR Text-to-Speech
  • Global team working experience
  • Data modeling experience
  • Advocate for customer-centric innovation
  • Culture of experimentation and data-driven growth

Key Requirements

  • 12-15 years total professional experience
  • 3+ years in people management and coaching
  • Experience with cloud platforms (AWS/GCP/Azure)
  • Strong technical depth in ML architecture and pipelines

Work Rights

Not specified

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